Aumente el tráfico de su sitio web

Avanzado

Este es unContent Creation, Multimodal AIflujo de automatización del dominio deautomatización que contiene 26 nodos.Utiliza principalmente nodos como Set, Code, Filter, SplitOut, Supabase. Motor automatizado de contenido de SEO con Claude AI, Scrapeless y análisis de la competencia

Requisitos previos
  • URL y Clave de API de Supabase
  • Credenciales de API de Google Sheets
  • Clave de API de Anthropic
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "id": "GplbQFeRZyqX2NA4",
  "meta": {
    "instanceId": "4adf7adc778b6fa0956bc5ac200936397d0bc0e9e60b5812a6244d74430458fb",
    "templateCredsSetupCompleted": true
  },
  "name": "Supercharge Your Website Traffic",
  "tags": [],
  "nodes": [
    {
      "id": "fa5ca22d-770f-4c80-98eb-0405893dbd80",
      "name": "Al hacer clic en 'Ejecutar flujo de trabajo'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        1740,
        380
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "c7054514-9c58-43da-bcab-c7995572c92e",
      "name": "Google Trends",
      "type": "n8n-nodes-scrapeless.scrapeless",
      "position": [
        2200,
        380
      ],
      "parameters": {
        "q": "={{ $json.seedKeyword }}",
        "cat": "0",
        "geo": "US",
        "data_type": "related_queries",
        "operation": "googleTrends"
      },
      "credentials": {
        "scrapelessApi": {
          "id": "p5QkIKUqqFeC0QkF",
          "name": "Scrapeless account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "7c23aa97-3b95-48e1-8c69-347f13edec67",
      "name": "Separar",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        2400,
        380
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "related_queries.top"
      },
      "typeVersion": 1
    },
    {
      "id": "390265e4-7a00-429b-8840-bc1c673f535c",
      "name": "Analizador de Salida Estructurada",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        3080,
        580
      ],
      "parameters": {
        "jsonSchemaExample": "{\n  \"data_interpretation\": \"Your English data interpretation text\",\n  \"trends_status\": \"Steady rise\",\n  \"recommended_priority\": \"P1 - Priority layout\",\n  \"keyword\": \"current input search query word\"\n}"
      },
      "typeVersion": 1.3
    },
    {
      "id": "71c12312-ddb4-4f28-9691-89ba6a0b400b",
      "name": "Nota Adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1660,
        280
      ],
      "parameters": {
        "width": 2000,
        "height": 480,
        "content": "# Phase 1: Hot Topics\n"
      },
      "typeVersion": 1
    },
    {
      "id": "7a3428a3-40f5-4187-b87b-12660aea38bb",
      "name": "Nota Adhesiva1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1660,
        800
      ],
      "parameters": {
        "color": 4,
        "width": 2000,
        "height": 520,
        "content": "# Phase 2: Competitive content research"
      },
      "typeVersion": 1
    },
    {
      "id": "7be65bd3-b577-457c-ac63-7673fb73981a",
      "name": "Rastrear",
      "type": "n8n-nodes-scrapeless.scrapeless",
      "position": [
        3060,
        1000
      ],
      "parameters": {
        "url": "={{ $json.link }}",
        "resource": "crawler",
        "operation": "crawl"
      },
      "credentials": {
        "scrapelessApi": {
          "id": "p5QkIKUqqFeC0QkF",
          "name": "Scrapeless account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "dfc7c9f9-2875-4fe8-9f08-0a10c49a1a52",
      "name": "Separar2",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        2880,
        1000
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "organic_results"
      },
      "typeVersion": 1
    },
    {
      "id": "146cc5c4-95df-4afa-89ab-9d96f384e6a9",
      "name": "Agregar",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        1740,
        1520
      ],
      "parameters": {
        "options": {},
        "fieldsToAggregate": {
          "fieldToAggregate": [
            {
              "fieldToAggregate": "markdown"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "139aa86a-ea2d-462b-b35c-b1e09d7e87f2",
      "name": "Código",
      "type": "n8n-nodes-base.code",
      "position": [
        2420,
        1520
      ],
      "parameters": {
        "jsCode": "// Get the output item of the previous node (AI Agent)\n// We assume that the AI Agent only outputs one result\nconst item = $input.first();\nconst rawOutput = item.json.output;\n\ntry {\n// Step 1: Clean the string and extract the pure JSON part\n// AI output is usually wrapped with ```json ... ```\nconst startIndex = rawOutput.indexOf('{');\nconst endIndex = rawOutput.lastIndexOf('}');\n\n// Throw an error if no valid JSON brackets are found\nif (startIndex === -1 || endIndex === -1) {\nthrow new Error(\"No valid JSON object found in AI output.\");\n}\n\nconst jsonString = rawOutput.slice(startIndex, endIndex + 1);\n\n// Step 2: Parse the cleaned string into a real JavaScript object\nconst parsedData = JSON.parse(jsonString);\n\n// Steps 3: Build a new, flattened output object ready for storage\nconst result = {\ntitle: parsedData.title,\nslug: parsedData.slug,\nmeta_description: parsedData.meta_description,\n\n// Key step: Processing JSONB fields\n// Convert JS objects/arrays back to JSON strings for proper processing by the Supabase node\nstrategy_summary: JSON.stringify(parsedData.strategy_summary),\nbody: JSON.stringify(parsedData.article_body),\n};\n\n// Step 4: Return the processed result as the output of this node\n// n8n expects an array of objects to be returned\nreturn [{\njson: result\n}];\n\n} catch (error) {\n// If parsing fails, print an error to n8n's execution log and terminate the workflow\nconsole.error(\"JSON parsing failed:\", error);\nconsole.error(\"Raw AI output:\", rawOutput);\nthrow new Error(\"Unable to parse the JSON data returned by AI, please check the output of the AI ​​Agent node.\");\n}"
      },
      "typeVersion": 2
    },
    {
      "id": "696d1194-9763-4d90-bac8-f32c3733f786",
      "name": "Nota Adhesiva2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1660,
        1360
      ],
      "parameters": {
        "color": 3,
        "width": 2000,
        "height": 520,
        "content": "# Phase 3: Complete SEO article writing and store it in the database"
      },
      "typeVersion": 1
    },
    {
      "id": "6046cbef-cda1-4e79-88bf-0e17a9d564d0",
      "name": "Google Search",
      "type": "n8n-nodes-scrapeless.scrapeless",
      "position": [
        2500,
        1000
      ],
      "parameters": {
        "q": "={{ $json['Related Keywords'] }}"
      },
      "credentials": {
        "scrapelessApi": {
          "id": "p5QkIKUqqFeC0QkF",
          "name": "Scrapeless account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "de5767de-10d7-44f4-85f1-f3b61df78111",
      "name": "Establecer palabras clave semilla",
      "type": "n8n-nodes-base.set",
      "position": [
        1960,
        380
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "8eb6d611-0979-4ce4-aae6-22ae2098c1fe",
              "name": "seedKeyword",
              "type": "string",
              "value": "Project Management"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "2915ce0d-8006-45fb-9233-a77ee4202f35",
      "name": "Google Trends-Obtener datos de tendencia",
      "type": "n8n-nodes-scrapeless.scrapeless",
      "position": [
        2620,
        380
      ],
      "parameters": {
        "q": "={{ $json.query }}",
        "cat": "0",
        "geo": "US",
        "operation": "googleTrends"
      },
      "credentials": {
        "scrapelessApi": {
          "id": "p5QkIKUqqFeC0QkF",
          "name": "Scrapeless account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "217812b3-ce4e-4fa6-9b31-86e789eb9bdd",
      "name": "Agente de IA",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        2860,
        380
      ],
      "parameters": {
        "text": "=The following are the keywords for the topic:` {{ $json.parameters.q }}`\ntrends data:\n```\n{{ $json.interest_over_time.toJsonString() }}\n```",
        "options": {
          "systemMessage": "=Context & Role\nYou are a professional SEO content strategist. Your primary task is to interpret time series data from Google Trends to evaluate the market trend of a given keyword and provide a clear recommendation on content creation priority.\n\nYou only need to make 5 requests!\n\n### Task\n\nBased on the user-provided input data (a JSON object containing Google Trends timeline_data), analyze the popularity trend and return a JSON object with three fields—data_interpretation, trend_status, recommended_priority—strictly and keyword following the specified output format. \n\nPay attention to the data source of this keyword and directly take this value {{ $json.parameters.q }}\n\n### Rules\n\nYou must follow the rules below to determine trend_status and recommended_priority:\n1. Analyze the timeline_data array:\n• Split the time-series data roughly into two halves.\n•Compare the average popularity value of the second half with that of the first half.\n2. Determine trend_status — You must choose one of the following:\n• Breakout: If the data shows a dramatic spike at the latest time point that is significantly higher than the average level.\n• Rising: If the average popularity in the second half is significantly higher than in the first half (e.g., more than 20% higher).\n• Stable: If the averages of both halves are close, or if the data exhibits a regular cyclical pattern without a clear long-term upward or downward trend.\n• Falling: If the average popularity in the second half is significantly lower than in the first half.\n3. Determine recommended_priority — You must map this directly from the trend_status:\n• If trend_status is Breakout, then recommended_priority is P0 - Immediate Action.\n• If trend_status is Rising, then recommended_priority is P1 - High Priority.\n• If trend_status is Stable, then recommended_priority is P2 - Moderate Priority.\n• If trend_status is Falling, then recommended_priority is P3 - Low Priority.\n4. Write data_interpretation:\n• Use 1–2 short sentences in English to summarize your observation of the trend. For example: “This keyword shows a clear weekly cycle with dips on weekends and rises on weekdays, but overall the trend remains stable.” or “The keyword’s popularity has been rising steadily over the past month, indicating strong growth potential.”\n\n### Output Format\n\nRespond with only the JSON object, no extra text, no markdown, no code block, and no explanation."
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 2
    },
    {
      "id": "fa7a38bb-54df-4ed1-b36b-258e915131da",
      "name": "Anthropic Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
        2800,
        580
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "claude-sonnet-4-20250514",
          "cachedResultName": "Claude Sonnet 4"
        },
        "options": {}
      },
      "credentials": {
        "anthropicApi": {
          "id": "onfXB2Zg7nbhjSIe",
          "name": "Anthropic account"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "ce2cabc1-a3a3-4ca2-a75a-50cc13a9c840",
      "name": "Filtrar temas con prioridad superior a P2",
      "type": "n8n-nodes-base.filter",
      "position": [
        2280,
        1000
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "or",
          "conditions": [
            {
              "id": "81225d05-b95d-41ed-996c-2b2ec86d499b",
              "operator": {
                "type": "string",
                "operation": "notContains"
              },
              "leftValue": "={{ $json.Level }}",
              "rightValue": "=P3"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "e5af529a-76dc-48f0-9e2b-b98d87f399b6",
      "name": "Filtrar TOP3 enlaces de competidores",
      "type": "n8n-nodes-base.set",
      "position": [
        2700,
        1000
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "eca6d648-6b06-4bf0-a139-6cb3d0344d15",
              "name": "organic_results",
              "type": "array",
              "value": "={{ $json.organic_results.slice(0,3) }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "307c2432-0607-4c89-a502-07034e638744",
      "name": "Extraer contenido de competidores en Markdown",
      "type": "n8n-nodes-base.set",
      "position": [
        3280,
        1000
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "2e05ab20-a65b-4375-8745-0968069c603d",
              "name": "markdown",
              "type": "string",
              "value": "={{ $json[0].markdown }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "7856b247-9bee-4a02-aa0c-f60f2ae4b942",
      "name": "Redactor Senior de Contenido SEO",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1980,
        1520
      ],
      "parameters": {
        "text": "=# Role & Objective\nYou are a senior SEO content writer at a SaaS company focused on “project management software.” Your core task is to write a complete, high-quality, and publish-ready SEO-optimized article based on the provided context.\n\n# Context & Data\n- Target Keyword: {{ $json.markdown }}\n- Your SaaS Product Name: SaaS Product\n- Latest Trend Insight: \"{{ $json.markdown }}\"\n- Competitor 1 (Top-ranked full content): \n\"\"\"\n{{ $json.markdown[0] }}\n\"\"\"\n- Competitor 2 (Top-ranked full content): \n\"\"\"\n{{ $json.markdown[1] }}\n\"\"\"\n- Competitor 3 (Top-ranked full content): \n\"\"\"\n{{ $json.markdown[2] }}\n\"\"\"\n\n# Your Task\nPlease use all the above information to write a complete article. You must:\n1. Analyze the competitors’ content deeply, learn from their strengths, and identify opportunities for differentiation.\n2. Integrate the trend insight naturally into the article to enhance its relevance and timeliness.\n3. Write the full content directly—do not give bullet points or outlines. Output full paragraphs only.\n4. Follow the exact structure below and output a well-formed JSON object with no additional explanation or extra text.\n\nUse the following strict JSON output format:\n{\n  \"title\": \"An eye-catching SEO title including the target keyword\",\n  \"slug\": \"a-keyword-rich-and-user-friendly-url-slug\",\n  \"meta_description\": \"A ~150 character meta description that includes the keyword and a call to action.\",\n  \"strategy_summary\": {\n    \"key_trend_insight\": \"Summarize the key trend insight used in the article.\",\n    \"content_angle\": \"Explain the unique content angle this article takes.\"\n  },\n  \"article_body\": [\n    {\n      \"type\": \"H2\",\n      \"title\": \"This is the first H2 heading of the article\",\n      \"content\": \"A rich, fluent, and informative paragraph related to this H2. Each paragraph should be 150–200 words and offer valuable insights beyond surface-level content.\"\n    },\n    {\n      \"type\": \"H2\",\n      \"title\": \"This is the second H2 heading\",\n      \"content\": \"Deep dive into this sub-topic. Use data, examples, and practical analysis to ensure content depth and value.\"\n    },\n    {\n      \"type\": \"H3\",\n      \"title\": \"This is an H3 heading that refines the H2 topic above\",\n      \"content\": \"Provide detailed elaboration under this H3, maintaining relevance to the H2.\"\n    },\n    {\n      \"type\": \"H2\",\n      \"title\": \"This third H2 could focus on how your product solves the problem\",\n      \"content\": \"Explain how [Your SaaS Product] helps users address the issue discussed above. This section should be persuasive and naturally lead the reader to take action.\"\n    }\n  ]\n}",
        "options": {},
        "promptType": "define"
      },
      "typeVersion": 2
    },
    {
      "id": "158b1928-4b08-4168-a9c2-695e1c0af9c8",
      "name": "Código1",
      "type": "n8n-nodes-base.code",
      "position": [
        3180,
        420
      ],
      "parameters": {
        "jsCode": "// Loop over input items and add a new field called 'myNewField' to the JSON of each one\nconst level0 = []\nconst level1 = []\nconst level2 = []\nconst level3 = []\nfor (const item of $input.all()) {\n  const itemData = item.json.output\n  const level = itemData?.recommended_priority?.toLowerCase()\n  if (level.includes('p0')) {\n    level0.push(itemData)\n  } else if  (level.includes('p1')) {\n    level1.push(itemData)\n  } else if  (level.includes('p2')) {\n    level2.push(itemData)\n  } else if  (level.includes('p3')) {\n    level3.push(itemData)\n  } \n}\n\nreturn [\n  ...level0,\n  ...level1,\n  ...level2,\n  ...level3\n]"
      },
      "typeVersion": 2
    },
    {
      "id": "76e1bcbc-f324-4e7c-a805-0496008c04dd",
      "name": "Añadir o actualizar fila en hoja",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        3380,
        440
      ],
      "parameters": {
        "columns": {
          "value": {
            "Level": "={{ $json.recommended_priority }}",
            "Reason": "={{ $json.data_interpretation }}",
            "Seed Keywords": "={{ $('Set seed keywords').item.json.seedKeyword }}",
            "Related Keywords": "={{ $json.keyword }}"
          },
          "schema": [
            {
              "id": "Seed Keywords",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Seed Keywords",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Related Keywords",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Related Keywords",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Reason",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Reason",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Level",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Level",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "Seed Keywords"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 1854560811,
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Thz1cfH3CdsqvJmt5TiYSNtjLZm7lSLZ50MAYjU6Q94/edit#gid=1854560811",
          "cachedResultName": "sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1Thz1cfH3CdsqvJmt5TiYSNtjLZm7lSLZ50MAYjU6Q94",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Thz1cfH3CdsqvJmt5TiYSNtjLZm7lSLZ50MAYjU6Q94/edit?usp=drivesdk",
          "cachedResultName": "Topics"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "JEBWZDzEgpbO56NP",
          "name": "Google Sheets account 3"
        }
      },
      "typeVersion": 4.6
    },
    {
      "id": "47792fbd-1b6d-419e-b12a-9cb2d67a2b12",
      "name": "Separar1",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        2060,
        1000
      ],
      "parameters": {
        "include": "allOtherFields",
        "options": {},
        "fieldToSplitOut": "Level"
      },
      "typeVersion": 1
    },
    {
      "id": "e3a45a94-01c9-4c89-90a2-34dcabf5ed53",
      "name": "Obtener fila(s) en hoja",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        1840,
        1000
      ],
      "parameters": {
        "options": {},
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 1854560811,
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Thz1cfH3CdsqvJmt5TiYSNtjLZm7lSLZ50MAYjU6Q94/edit#gid=1854560811",
          "cachedResultName": "sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1Thz1cfH3CdsqvJmt5TiYSNtjLZm7lSLZ50MAYjU6Q94",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Thz1cfH3CdsqvJmt5TiYSNtjLZm7lSLZ50MAYjU6Q94/edit?usp=drivesdk",
          "cachedResultName": "Topics"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "OV1bWpgbCPPtPJON",
          "name": "Google Sheets account 4"
        }
      },
      "typeVersion": 4.6
    },
    {
      "id": "00843ad2-2209-4539-9e24-dfd980767b91",
      "name": "Anthropic Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
        1900,
        1680
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "claude-sonnet-4-20250514",
          "cachedResultName": "Claude Sonnet 4"
        },
        "options": {}
      },
      "credentials": {
        "anthropicApi": {
          "id": "onfXB2Zg7nbhjSIe",
          "name": "Anthropic account"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "cbd7133f-f4a4-4a77-9712-9dc3b49e4ea4",
      "name": "Crear una fila",
      "type": "n8n-nodes-base.supabase",
      "position": [
        2700,
        1520
      ],
      "parameters": {
        "tableId": "seo_articles",
        "fieldsUi": {
          "fieldValues": [
            {
              "fieldId": "title",
              "fieldValue": "={{ $json.title }}"
            },
            {
              "fieldId": "meta_description",
              "fieldValue": "={{ $json.meta_description }}"
            },
            {
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Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Avanzado - Creación de contenido, IA Multimodal

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos26
Categoría2
Tipos de nodos13
Descripción de la dificultad

Adecuado para usuarios avanzados, flujos de trabajo complejos con 16+ nodos

Enlaces externos
Ver en n8n.io

Compartir este flujo de trabajo

Categorías

Categorías: 34